DEoptimR: Differential Evolution Optimization in Pure R

Version 1.0-8

Differential Evolution (DE) stochastic algorithms for global
optimization of problems with and without constraints.
The aim is to curate a collection of its state-of-the-art variants that
(1) do not sacrifice simplicity of design,
(2) are essentially tuning-free, and
(3) can be efficiently implemented directly in the R language.
Currently, it only provides an implementation of the 'jDE' algorithm by
Brest et al. (2006) .